Triple
T1995616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King William's War |
E43350
|
entity |
| Predicate | significantEffect |
P1634
|
FINISHED |
| Object | devastation of New England frontier settlements |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: devastation of New England frontier settlements | Statement: [King William's War, significantEffect, devastation of New England frontier settlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantEffect Context triple: [King William's War, significantEffect, devastation of New England frontier settlements]
-
A.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
B.
primaryEffect
chosen
Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
-
C.
significantRevisionIn
Indicates that one entity represents a substantial or important change made within another entity, such as a major update or revision occurring in a larger work or version.
-
D.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
-
E.
significantEvent
Indicates that an event involving the entities is of notable importance or impact within a given context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.